Spatial Models in Small Area Estimation in the Context of Official Statistics

نویسندگان

  • Alessandra Petrucci
  • Monica Pratesi
چکیده

Small area estimation (SAE) plays an important role in survey sampling due to growing demands for reliable small area statistics from both public and private sectors. This paper reviews some of the current techniques of small area estimation combined with spatial models available in the literature. Illustrative examples or applications are likewise presented in the context of official statistics where data sources, particularly surveys and censuses or surveys and administrative sources, have been combined using statistical models based on small area and domain estimation.

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تاریخ انتشار 2015